Revision 997d683c5da8d0abe4c2ad15eb77091ef7c66ebd authored by Bettina Gruen on 12 October 2020, 07:19:16 UTC, committed by cran-robot on 12 October 2020, 07:19:16 UTC
1 parent 6c20e71
EIC.Rd
%
% Copyright (C) 2004-2009 Friedrich Leisch and Bettina Gruen
% $Id: EIC.Rd 3912 2008-03-13 15:10:24Z gruen $
%
\name{EIC}
\alias{EIC}
\alias{EIC,flexmix-method}
\alias{EIC,stepFlexmix-method}
\title{Entropic Measure Information Criterion}
\description{
Compute the Entropic measure Information criterion for model selection.
}
\usage{
\S4method{EIC}{flexmix}(object, \dots)
\S4method{EIC}{stepFlexmix}(object, \dots)
}
\arguments{
\item{object}{see Methods section below}
\item{\dots}{Some methods for this generic function may take additional,
optional arguments. At present none do.}
}
\section{Methods}{
\describe{
\item{object = "flexmix":}{Compute the EIC of a \code{flexmix} object.}
\item{object = "stepFlexmix":}{Compute the EIC of all
models contained in the \code{stepFlexmix} object.}
}}
\value{
Returns a numeric vector with the corresponding EIC value(s).
}
\keyword{methods}
\author{Bettina Gruen}
\references{
V. Ramaswamy, W. S. DeSarbo, D. J. Reibstein, and W. T. Robinson. An
empirical pooling approach for estimating marketing mix elasticities
with PIMS data. \emph{Marketing Science}, \bold{12}(1), 103--124, 1993.
}
\examples{
data("NPreg", package = "flexmix")
ex1 <- flexmix(yn ~ x + I(x^2), data = NPreg, k = 2)
EIC(ex1)
}
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